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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all functions with links to the classes they belong to:</div>

<h3><a id="index_n" name="index_n"></a>- n -</h3><ul>
<li>name()&#160;:&#160;<a class="el" href="classshark_1_1_absolute_loss.html#a50eaf3cfcf3f288a25af75e32df81211">shark::AbsoluteLoss&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_abstract_budget_maintenance_strategy.html#aa96771736bedb9e44f820e871ed98350">shark::AbstractBudgetMaintenanceStrategy&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_adam.html#a904590aed2428f855aa96a85ec7d6d64">shark::Adam&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#ab372f8a468cce1ec1e36b9fd0f963d9c">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_ackley.html#aac4f2dbde13547ae7bd3c312c8cb52c7">shark::benchmarks::Ackley</a>, <a class="el" href="structshark_1_1benchmarks_1_1_cigar.html#ab9805f4c6bb5fd9e5eccd3fd9f40d6a2">shark::benchmarks::Cigar</a>, <a class="el" href="classshark_1_1benchmarks_1_1_cigar_discus.html#a1e9cb8436a4c7f3b0a470469531240ff">shark::benchmarks::CigarDiscus</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b1.html#ae23931b5466e969c88c84fe0297e1b00">shark::benchmarks::CIGTAB1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b2.html#af0ba8135253cb5a6d678129678575ccf">shark::benchmarks::CIGTAB2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_constrained_sphere.html#aea4689233e05b91376061312f5debaf4">shark::benchmarks::ConstrainedSphere</a>, <a class="el" href="structshark_1_1benchmarks_1_1_diff_powers.html#a4e34e79c0df357c622eea5d7829febb0">shark::benchmarks::DiffPowers</a>, <a class="el" href="structshark_1_1benchmarks_1_1_discus.html#aa631f8a84a54bad0f00f447afbad374d">shark::benchmarks::Discus</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z1.html#a932a5e38fa99c24b03d1cd8559e15508">shark::benchmarks::DTLZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z2.html#aaf608ae5c81fadcda860defa4b322cfb">shark::benchmarks::DTLZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z3.html#a69b1ca1be786a9591536899df8fbd5ff">shark::benchmarks::DTLZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z4.html#a9e0ac78d3a87fae03d75ef63f02f27fd">shark::benchmarks::DTLZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z5.html#ad58f1fef7880c639e12317f317a94775">shark::benchmarks::DTLZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z6.html#a9b6db5b0f895a2ee2771fa664aed2064">shark::benchmarks::DTLZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z7.html#a28ecf1aff3370b5d3373ba3cf9c52785">shark::benchmarks::DTLZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i1.html#ae38878b7514c3533cb8e08ddf2b881fb">shark::benchmarks::ELLI1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i2.html#a6eb3bea91daa65d2e8dc01ef97cf8c79">shark::benchmarks::ELLI2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_ellipsoid.html#abb15f4f16ebdb1b8883bb51567be6673">shark::benchmarks::Ellipsoid</a>, <a class="el" href="structshark_1_1benchmarks_1_1_fonseca.html#ac47881ea91eef66dba36f1612af989d3">shark::benchmarks::Fonseca</a>, <a class="el" href="structshark_1_1benchmarks_1_1_g_s_p.html#afa72ad7e6ec033fedc4cd4e3b34db159">shark::benchmarks::GSP</a>, <a class="el" href="structshark_1_1benchmarks_1_1_himmelblau.html#a886fcae54566b96d2c0c02745f86f508">shark::benchmarks::Himmelblau</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r1.html#a8f15de9125f8bbb77b5300bd331d75e6">shark::benchmarks::IHR1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r2.html#a9ca8e476ee207f3f3d617e8b390286ed">shark::benchmarks::IHR2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r3.html#ad10612d66642ed3f5a10ac3167bbb995">shark::benchmarks::IHR3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r4.html#a8a9ece914953de2ce4a9604965fc3a65">shark::benchmarks::IHR4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r6.html#ad0e263a470045eba1e2b1309c795d3c3">shark::benchmarks::IHR6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z1.html#af62fad6d3d34ac7079969cbdfc502bc6">shark::benchmarks::LZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z2.html#af77c5160f1f6173ccfb6b581036521b6">shark::benchmarks::LZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z3.html#a60aa48d738b898b294abfbd2b72cd1a3">shark::benchmarks::LZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z4.html#a9caa5c83a2afba45667b96c2d9cdfe79">shark::benchmarks::LZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z5.html#a6b43fcc1798fc38f1b9e12f0b764eada">shark::benchmarks::LZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z6.html#a6c4f00abf8f0f6623196a20411d93d31">shark::benchmarks::LZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z7.html#a33149f99cef40d8e08281ca54176f1eb">shark::benchmarks::LZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z8.html#aaf75fd33afb552a935ab3d2eac14bc59">shark::benchmarks::LZ8</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z9.html#a4e9ca8b29bb4b3519c0e26acd8b57389">shark::benchmarks::LZ9</a>, <a class="el" href="classshark_1_1benchmarks_1_1_markov_pole.html#ae1078f9066a1e963c97afe61d35ab36d">shark::benchmarks::MarkovPole&lt; HiddenNeuron, OutputNeuron &gt;</a>, <a class="el" href="classshark_1_1benchmarks_1_1_multi_objective_benchmark.html#afefbd87f70a57cab4df4868102a71e74">shark::benchmarks::MultiObjectiveBenchmark&lt; Objectives &gt;</a>, <a class="el" href="classshark_1_1benchmarks_1_1_non_markov_pole.html#aad8c006d1988501c681401955d52ceac">shark::benchmarks::NonMarkovPole</a>, <a class="el" href="structshark_1_1benchmarks_1_1_rosenbrock.html#a576147204da2e04c0444b0faa40982ec">shark::benchmarks::Rosenbrock</a>, <a class="el" href="structshark_1_1benchmarks_1_1_rotated_objective_function.html#ae349e44ba5ac6f2f6c2533d2da9fdb03">shark::benchmarks::RotatedObjectiveFunction</a>, <a class="el" href="structshark_1_1benchmarks_1_1_schwefel.html#a41f4c49e2c880e69d8ecf856150afef2">shark::benchmarks::Schwefel</a>, <a class="el" href="structshark_1_1benchmarks_1_1_sphere.html#adcabf9b493ca6da2b55bd1cb3b4eedb2">shark::benchmarks::Sphere</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t1.html#af55b74a09701da9b36a634af9dbc408a">shark::benchmarks::ZDT1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t2.html#a6c8edf541669420ac8863b13aa9a0c91">shark::benchmarks::ZDT2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t3.html#abc71dce41bc67cf0e5dba555c0568016">shark::benchmarks::ZDT3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t4.html#a3b958417187c537bac6e00bddd0247a1">shark::benchmarks::ZDT4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t6.html#a2ae3b66cd6deeec6316fe511c2aa895f">shark::benchmarks::ZDT6</a>, <a class="el" href="classshark_1_1_b_f_g_s.html#ad36985b805e542efdd98f4241c90943e">shark::BFGS&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_c_a_r_tree.html#abe168c9946dc394dc6216b803890b242">shark::CARTree&lt; LabelType &gt;</a>, <a class="el" href="classshark_1_1_centroids.html#a82a973c9374f34c44c68fd3c1a15f0d2">shark::Centroids</a>, <a class="el" href="classshark_1_1_c_g.html#a2763e3d0e95cefaf834733d6752602af">shark::CG&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_classifier.html#a0badc4c5bfefe6e358c03ca8b115ffdf">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_c_m_a.html#a5552a900fb20cb35af9103467796e18e">shark::CMA</a>, <a class="el" href="classshark_1_1_c_m_a_c_map.html#a5472d8dbda3cd1256d809dca83939952">shark::CMACMap</a>, <a class="el" href="classshark_1_1_c_m_s_a.html#acbe8ad6fae3e5432f3e4ea206de89376">shark::CMSA</a>, <a class="el" href="classshark_1_1_combined_objective_function.html#adc7b716e211e631c987995b3da75a504">shark::CombinedObjectiveFunction&lt; SearchPointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1_concatenated_model.html#aaaed213f7229e9069b8533e5448ba390">shark::ConcatenatedModel&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_contrastive_divergence.html#ae60eb82e6c409d2f2a0f9fb8310a81f1">shark::ContrastiveDivergence&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_conv2_d_model.html#a918f1703be09907f032fad65acabacba">shark::Conv2DModel&lt; VectorType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_3_01blas_1_1vector_3_01_t_00_01_device_01_4_00_01blas_1_1vector_3_01_t_00_01_device_01_4_01_4.html#aafe39e8c9f73cb1120d6be4de61e3a5a">shark::CrossEntropy&lt; blas::vector&lt; T, Device &gt;, blas::vector&lt; T, Device &gt; &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_3_01unsigned_01int_00_01_output_type_01_4.html#aa508dd3b0e9621775385942be62d72fd">shark::CrossEntropy&lt; unsigned int, OutputType &gt;</a>, <a class="el" href="classshark_1_1_cross_entropy_method_1_1_constant_noise.html#aa82322d10dcf82474c7bf8fdce4fcfd0">shark::CrossEntropyMethod::ConstantNoise</a>, <a class="el" href="classshark_1_1_cross_entropy_method_1_1_i_noise_type.html#acedfc8d3e4b0665558d1514664b68e21">shark::CrossEntropyMethod::INoiseType</a>, <a class="el" href="classshark_1_1_cross_entropy_method_1_1_linear_noise.html#ae6ef7e2b639f5d30b056e7af4995d4f7">shark::CrossEntropyMethod::LinearNoise</a>, <a class="el" href="classshark_1_1_cross_entropy_method.html#aa968320f9b938c9367eaab5cac3eeb6c">shark::CrossEntropyMethod</a>, <a class="el" href="classshark_1_1_cross_validation_error.html#a0f1f477d928a0c26e7abab0ed758ed98">shark::CrossValidationError&lt; ModelTypeT, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_c_svm_derivative.html#a65fc3c6c7de2ef556fdacaa9376e4acb">shark::CSvmDerivative&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_c_svm_trainer.html#a9dc25f037d2af2005d1fbfd52ceffb55">shark::CSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_discrete_kernel.html#a99d8f36931a15fe479753d000266e76f">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_discrete_loss.html#a925e823ebc196857a6057c1b987232ca">shark::DiscreteLoss</a>, <a class="el" href="classshark_1_1_dropout_layer.html#ab8e9310d7d4b68498cab365cb7fd2467">shark::DropoutLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_elitist_c_m_a.html#a7b47ad2c14d583ce71dbcacb981dc19d">shark::ElitistCMA</a>, <a class="el" href="classshark_1_1_ensemble.html#a3508e39c8cbf40de08dcd387670a8f58">shark::Ensemble&lt; ModelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_epsilon_hinge_loss.html#ac4a1af84b8b2f898dca81dc81ab0d0af">shark::EpsilonHingeLoss</a>, <a class="el" href="classshark_1_1_epsilon_svm_trainer.html#ae4567615c33a2a3aec07382c3f2538d8">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_error_function.html#abecfa779a288d737e93be61cb6bc068d">shark::ErrorFunction&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_exact_gradient.html#a743bdbdd708d3c13c2426ec207f1463b">shark::ExactGradient&lt; RBMType &gt;</a>, <a class="el" href="classshark_1_1_fisher_l_d_a.html#affb0188e86c275c85a6ebd6f154ff0e2">shark::FisherLDA</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a916c76c0077640e12e95ffe4a46aa2c8">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#afcf414a6503122bed82e17c8f242a5eb">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_grid_search.html#a8cc649ca8e82a43be3241188771caae8">shark::GridSearch</a>, <a class="el" href="classshark_1_1_hard_clustering_model.html#a895ab18a13417a1bd73525885bc7da73">shark::HardClusteringModel&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_hierarchical_clustering.html#a8945b0b34beae2ea1206f31593b5f814">shark::HierarchicalClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_hinge_loss.html#ab4924162434e93980e73a399805b1e77">shark::HingeLoss</a>, <a class="el" href="classshark_1_1_huber_loss.html#a9193d7d11ccc7b84a830b26ca12f21f6">shark::HuberLoss</a>, <a class="el" href="classshark_1_1_i_nameable.html#a9893f99314de30cd472e649c235d0db4">shark::INameable</a>, <a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#ad4787a0d2d7005ca79096a5a677ac49a">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#a5132ff6593edbff4b89757bde772931c">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#ae6889e5fe7b013fabfc8de5d2db5b8cf">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a6479254636b6c638beec35a3ba495f5a">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="structshark_1_1_kernel_classifier.html#abbef74538d798ab544d102d5a957b1eb">shark::KernelClassifier&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_kernel_expansion.html#ac7cf9023daedf1951882dcf76956cbff">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_kernel_mean_classifier.html#aadb6d7c949ff748325c4a4f57c5b31ab">shark::KernelMeanClassifier&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a5adb31bcd362569c1e123a6325329be9">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_target_alignment.html#a018b6911e9c8eac5aa28c4f89f4c5a93">shark::KernelTargetAlignment&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_label_order.html#a4a00d32766c50892a6c02114fdc2ebae">shark::LabelOrder</a>, <a class="el" href="classshark_1_1_lasso_regression.html#ad8508272dd9a2c5821c85587c26dd3b2">shark::LassoRegression&lt; InputVectorType &gt;</a>, <a class="el" href="classshark_1_1_l_b_f_g_s.html#a9166b5a6d3a92af54895ab7308223de2">shark::LBFGS&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_l_d_a.html#a393bdae1c49922552128c7fe310cd950">shark::LDA</a>, <a class="el" href="classshark_1_1_linear_classifier.html#a9bdf59bcaf5fe2ca2c29931567289953">shark::LinearClassifier&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_linear_c_svm_trainer.html#ab775e6b9f43525fcf0cae67bbdc58914">shark::LinearCSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#a328c98dfd40a9692260aba1da0e75269">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_model.html#aeba0a314a0e19aa2f05a91517eea1467">shark::LinearModel&lt; InputType, ActivationFunction &gt;</a>, <a class="el" href="classshark_1_1_linear_regression.html#a9f7dced7c5b2ca4e56e876d3dec7a2e7">shark::LinearRegression</a>, <a class="el" href="classshark_1_1_linear_s_a_g_trainer.html#a14d282d2649ff7d489730833f147b2d3">shark::LinearSAGTrainer&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_l_m_c_m_a.html#a758588cfe6ceb146bc54375c257333d8">shark::LMCMA</a>, <a class="el" href="classshark_1_1_logistic_regression.html#a8513a39378376eb2155e52fd1ab504f4">shark::LogisticRegression&lt; InputVectorType &gt;</a>, <a class="el" href="classshark_1_1_loo_error.html#a4deb85efd90bada09269d3433e72497a">shark::LooError&lt; ModelTypeT, LabelType &gt;</a>, <a class="el" href="classshark_1_1_loo_error_c_svm.html#ae3e70fd4d630eaa9baee7e3b2d6e7bdc">shark::LooErrorCSvm&lt; InputType, CacheType &gt;</a>, <a class="el" href="structshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4_1_1_merging_problem_function.html#a2dfbff2e4e5b3e6015b2964069f65fe3">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::MergingProblemFunction</a>, <a class="el" href="classshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4.html#aec9a14387771b164b93aeae8847995cf">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;</a>, <a class="el" href="classshark_1_1_missing_features_kernel_expansion.html#af68e2d95781b1753eca457476b44c11f">shark::MissingFeaturesKernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_missing_feature_svm_trainer.html#ade372bf97ed06b982d514f2ed8a17a85">shark::MissingFeatureSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_mkl_kernel.html#aa510142cfcee8d80da5dd077c521e03b">shark::MklKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_model_kernel.html#a8ccb09cc66526c130147aa735ec25d4c">shark::ModelKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#a2b5b69dd7e785191c1d01eb5496916be">shark::MOEAD</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a9302dffff372e5e4600f199004900726">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_multi_chain_approximator.html#acc43cc0a740984cfeaffbcf565eeb83f">shark::MultiChainApproximator&lt; MarkovChainType &gt;</a>, <a class="el" href="classshark_1_1_multi_task_kernel.html#a4f294206774e0579a2ba64d445660ffb">shark::MultiTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_nearest_neighbor_model.html#a5a708b0b1a630536eb43645884234f45">shark::NearestNeighborModel&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#a1b6723566a8a680f0cc67dabc5524a50">shark::NearestNeighborModel&lt; InputType, unsigned int &gt;</a>, <a class="el" href="classshark_1_1_negative_a_u_c.html#a9f47bfe33018e018d4b82dbe03caa3c2">shark::NegativeAUC&lt; LabelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_negative_gaussian_process_evidence.html#af8d8184ce532bfefe178d8189c417989">shark::NegativeGaussianProcessEvidence&lt; InputType, OutputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_negative_log_likelihood.html#a53c0c49a427ad65f5936f0bd12c5daf6">shark::NegativeLogLikelihood</a>, <a class="el" href="classshark_1_1_negative_wilcoxon_mann_whitney_statistic.html#a7e5edb29b2a6ac5030b9c71573809971">shark::NegativeWilcoxonMannWhitneyStatistic&lt; LabelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_nested_grid_search.html#a1a0f8c2203e464572921d4c733b7e642">shark::NestedGridSearch</a>, <a class="el" href="classshark_1_1_neuron_layer.html#af27170a6f951dc093b4a35f658ad24e6">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_normalize_components_unit_interval.html#ad8c0613753d1dd394bd76ad9aa5deb22">shark::NormalizeComponentsUnitInterval&lt; DataType &gt;</a>, <a class="el" href="classshark_1_1_normalize_components_unit_variance.html#a376c01477b607be1a6dfa646355f8811">shark::NormalizeComponentsUnitVariance&lt; DataType &gt;</a>, <a class="el" href="classshark_1_1_normalize_components_whitening.html#a4877ded5fe74853ca167f8a6d5bcf2aa">shark::NormalizeComponentsWhitening</a>, <a class="el" href="classshark_1_1_normalize_components_z_c_a.html#a1ed34b0f77bf995d1b4b4787c017cac8">shark::NormalizeComponentsZCA</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#ab8fabb64b228fe65c6e1e1e40597089f">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_normalize_kernel_unit_variance.html#add1b4f372f2caabd32b259b79eeac3af">shark::NormalizeKernelUnitVariance&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_normalizer.html#a44e86f0bf982b9f923ab9db3fb4d5db2">shark::Normalizer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_one_class_svm_trainer.html#a21afb7716397fcc1bb807219576066e8">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_one_norm_regularizer.html#a5b65e0d04b4d90f6ab096532e67d95cd">shark::OneNormRegularizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_one_versus_one_classifier.html#a291c3ee295209c764e3f37e221f62101">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a>, <a class="el" href="classshark_1_1_optimization_trainer.html#a638833667d4760aa927deb182c3067bd">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_p_c_a.html#a900a33903800136e115a2d208067cba9">shark::PCA</a>, <a class="el" href="classshark_1_1_perceptron.html#a6be3dc5100e1efa4ace8282204cb6ce9">shark::Perceptron&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_point_search.html#a276d5caed734133125aa479772616f19">shark::PointSearch</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#adee6fc3ed565f4578820e18e72dba569">shark::PointSetKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a746e5af7a23ff497372a98f3c61d1166">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_pooling_layer.html#ab4bf41f8cc10085db920e243a797376e">shark::PoolingLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#a55bec5519bf13ebc4a07a82414a4a8dc">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_project_budget_maintenance_strategy.html#a4ad4af7c05df1da75fc1ed537ef74de9">shark::ProjectBudgetMaintenanceStrategy&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_project_budget_maintenance_strategy_3_01_real_vector_01_4.html#aab3b1e4a1bd156bbb425963c174efaec">shark::ProjectBudgetMaintenanceStrategy&lt; RealVector &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#a58a79c47263f74c4406c87f24376ac18">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_ranking_svm_trainer.html#a25ffc4b3b8a854bdd92386786b67edac">shark::RankingSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_r_b_f_layer.html#a5c92a238e03636179012151422f54024">shark::RBFLayer</a>, <a class="el" href="classshark_1_1_r_b_m.html#ae2d7c8d3c93a4d8e01a066793d5f2cb5">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a>, <a class="el" href="classshark_1_1_real_coded_n_s_g_a_i_i_i.html#a3ddf2bb350b0053ddd30bd283a22ffbc">shark::RealCodedNSGAIII</a>, <a class="el" href="classshark_1_1_regularization_network_trainer.html#a9e48be55e7a79ad8a6fd1355aa2bd8da">shark::RegularizationNetworkTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_remove_budget_maintenance_strategy.html#afc3e2aa3bdd4d56064f4063ba5895f78">shark::RemoveBudgetMaintenanceStrategy&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_resize_layer.html#aea826ee3fef39378ae5d73850de34850">shark::ResizeLayer&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_r_f_classifier.html#a5104a2e299a21cd91d909fe755db1ea1">shark::RFClassifier&lt; LabelType &gt;</a>, <a class="el" href="classshark_1_1_r_f_trainer_3_01_real_vector_01_4.html#ae1ad33346b1541c85c3d239306acd92b">shark::RFTrainer&lt; RealVector &gt;</a>, <a class="el" href="classshark_1_1_r_f_trainer_3_01unsigned_01int_01_4.html#a12989f50963a1854f1fbc45c1009a839">shark::RFTrainer&lt; unsigned int &gt;</a>, <a class="el" href="classshark_1_1_rprop.html#ae04b0f8744beddb91f16038954ee34cf">shark::Rprop&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#a570e039a9773303f3cdc304079391b9e">shark::RVEA</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a6a15e6434ad5c78ebc492c369e67a6ff">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_simplex_downhill.html#ad37f7025e5e94221a1c7fd50528eb095">shark::SimplexDownhill</a>, <a class="el" href="classshark_1_1_single_chain_approximator.html#a903b03c0f62d229c3586dcfcb628f793">shark::SingleChainApproximator&lt; MarkovChainType &gt;</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#a640d6d8ab81e423b0adca134dc8fd73a">shark::SMSEMOA</a>, <a class="el" href="classshark_1_1_soft_clustering_model.html#a47a2a9d36ae1ac3d2b762c057a02fd29">shark::SoftClusteringModel&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_squared_epsilon_hinge_loss.html#a487e5694453ff461bd10fb415ff3f236">shark::SquaredEpsilonHingeLoss</a>, <a class="el" href="classshark_1_1_squared_hinge_c_svm_trainer.html#a71ab3305c3272052460e3e163cd0c6e4">shark::SquaredHingeCSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_squared_hinge_linear_c_svm_trainer.html#a5bb2c885adf7369a791ac721e0b2bab0">shark::SquaredHingeLinearCSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_squared_hinge_loss.html#adca6579fa31cdf05f372241168f225b0">shark::SquaredHingeLoss</a>, <a class="el" href="classshark_1_1_squared_loss.html#a5ac187e301fe104bab8ff1129198b441">shark::SquaredLoss&lt; OutputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_squared_loss_3_01_output_type_00_01unsigned_01int_01_4.html#a0910c05148c8f6d42d8f61370c63f76d">shark::SquaredLoss&lt; OutputType, unsigned int &gt;</a>, <a class="el" href="classshark_1_1_squared_loss_3_01_sequence_00_01_sequence_01_4.html#a8fe3f3f55e5274d416f48d2cfa1978f0">shark::SquaredLoss&lt; Sequence, Sequence &gt;</a>, <a class="el" href="classshark_1_1statistics_1_1_base_statistics_object.html#a1e45686c50637f078791e9120a4d4426">shark::statistics::BaseStatisticsObject</a>, <a class="el" href="classshark_1_1statistics_1_1_fraction_missing.html#a671672c794574c1c411aa40d0f27332b">shark::statistics::FractionMissing</a>, <a class="el" href="classshark_1_1statistics_1_1_mean.html#a5df4707007de240eb03480976109270a">shark::statistics::Mean</a>, <a class="el" href="classshark_1_1statistics_1_1_median.html#a4157c2ce6c5a672614d4ec4fa849f93c">shark::statistics::Median</a>, <a class="el" href="classshark_1_1statistics_1_1_quantile.html#a505221ce995a1c6b169aef2056cb3661">shark::statistics::Quantile</a>, <a class="el" href="classshark_1_1statistics_1_1_variance.html#a33135df731d4fd37ba3982ba77f9cf9b">shark::statistics::Variance</a>, <a class="el" href="classshark_1_1_steepest_descent.html#aab19ca67c867bf74af2c42610f420705">shark::SteepestDescent&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_subrange_kernel.html#ad3d16c38f2af5e5cb43bcf716bea225b">shark::SubrangeKernel&lt; InputType, InnerKernel &gt;</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#a609bdc62676220fa7b1e27366db2e0fd">shark::SvmLogisticInterpretation&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_trust_region_newton.html#a3b316c4bfc827853a64b03d34c07c165">shark::TrustRegionNewton</a>, <a class="el" href="classshark_1_1_two_norm_regularizer.html#aaf8a5aa66a1f06358d9b49ee7290a9b2">shark::TwoNormRegularizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_variational_autoencoder_error.html#af6f7db424236e972169be485df11f212">shark::VariationalAutoencoderError&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_v_d_c_m_a.html#a802231164288dca08bf2d504c4a62733">shark::VDCMA</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#abe44dc95e08b7024712f4980e6dbd310">shark::WeightedSumKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_zero_one_loss.html#ae78565cab68eb04269cf2cd1b4b7bca2">shark::ZeroOneLoss&lt; LabelType, OutputType &gt;</a>, <a class="el" href="classshark_1_1_zero_one_loss_3_01unsigned_01int_00_01blas_1_1vector_3_01_float_01_4_01_4.html#a06650f85d667aacb16546f910b5e16b4">shark::ZeroOneLoss&lt; unsigned int, blas::vector&lt; Float &gt; &gt;</a></li>
<li>nc()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#ae2777ec8d6041aa0b27f293c0d845373">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#af61a24b3333312acd8d86348fe07768c">shark::MOEAD</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#a12f8457c3d88a53c10d7963a2c821e5f">shark::RVEA</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#ad5ee8c74bdcfd17dc581c37e2a3f3686">shark::SMSEMOA</a></li>
<li>NearestNeighborModel()&#160;:&#160;<a class="el" href="classshark_1_1_nearest_neighbor_model.html#a42904f42415222c765c0d82cdd8beb18">shark::NearestNeighborModel&lt; InputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#ae80cd733c7a0dcc7f157998407ca03d8">shark::NearestNeighborModel&lt; InputType, unsigned int &gt;</a></li>
<li>NegativeAUC()&#160;:&#160;<a class="el" href="classshark_1_1_negative_a_u_c.html#a8589cb24e741e1934af4a704ec3dd7dc">shark::NegativeAUC&lt; LabelType, OutputType &gt;</a></li>
<li>NegativeGaussianProcessEvidence()&#160;:&#160;<a class="el" href="classshark_1_1_negative_gaussian_process_evidence.html#a3de0372ab79585993728bfd7dbb60438">shark::NegativeGaussianProcessEvidence&lt; InputType, OutputType, LabelType &gt;</a></li>
<li>NegativeLogLikelihood()&#160;:&#160;<a class="el" href="classshark_1_1_negative_log_likelihood.html#acfa3a7764dc459482a1450ddff8f74a4">shark::NegativeLogLikelihood</a></li>
<li>NegativeWilcoxonMannWhitneyStatistic()&#160;:&#160;<a class="el" href="classshark_1_1_negative_wilcoxon_mann_whitney_statistic.html#a762a1be770ac41de5e0a83d08bc7bc2f">shark::NegativeWilcoxonMannWhitneyStatistic&lt; LabelType, OutputType &gt;</a></li>
<li>neighbors()&#160;:&#160;<a class="el" href="classshark_1_1_iterative_n_n_query.html#a8eadbf00c36ad200cbb2d75efed07c7b">shark::IterativeNNQuery&lt; DataContainer &gt;</a>, <a class="el" href="classshark_1_1_nearest_neighbor_model_3_01_input_type_00_01unsigned_01int_01_4.html#aad85d971c563b831661de2d43e8a0936">shark::NearestNeighborModel&lt; InputType, unsigned int &gt;</a></li>
<li>neighbourhoodSize()&#160;:&#160;<a class="el" href="classshark_1_1_m_o_e_a_d.html#ae8479a8c17ddb1987ac40847826e09cf">shark::MOEAD</a></li>
<li>NestedGridSearch()&#160;:&#160;<a class="el" href="classshark_1_1_nested_grid_search.html#af843acc075e013fe5d75ffc0e5135e10">shark::NestedGridSearch</a></li>
<li>neuron()&#160;:&#160;<a class="el" href="classshark_1_1_neuron_layer.html#a47ef0e95a6787005160b2d0b3a12a1d3">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a></li>
<li>NeuronLayer()&#160;:&#160;<a class="el" href="classshark_1_1_neuron_layer.html#a59a34483efcaed2612aaf78d02d709ed">shark::NeuronLayer&lt; NeuronType, VectorType &gt;</a></li>
<li>next()&#160;:&#160;<a class="el" href="classshark_1_1_iterative_n_n_query.html#ac980e389bfdd03966ab9eee72491f520">shark::IterativeNNQuery&lt; DataContainer &gt;</a></li>
<li>nextDepthLevel()&#160;:&#160;<a class="el" href="classshark_1_1_tree_construction.html#aa76f09fabb33889421b6c8f2771afb8a">shark::TreeConstruction</a></li>
<li>nm()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#a537b751a1916ac338c84af80b155b901">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#ace2a4fd5bb0b4c0426b58167382644d5">shark::MOEAD</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#a42f756cb121540d3e27477024f7b45d9">shark::RVEA</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#ad34a29e72cdc9b81f1daea9e72b7e377">shark::SMSEMOA</a></li>
<li>nodes()&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a53cb65296bf84a1fbe0715e2ba0878bb">shark::BinaryTree&lt; InputT &gt;</a></li>
<li>noiseValue()&#160;:&#160;<a class="el" href="classshark_1_1_cross_entropy_method_1_1_constant_noise.html#ada2ba5e9b24cfab36ee9cd6e25447f6e">shark::CrossEntropyMethod::ConstantNoise</a>, <a class="el" href="classshark_1_1_cross_entropy_method_1_1_i_noise_type.html#aeb003589c15cf765f869f41c02ea731b">shark::CrossEntropyMethod::INoiseType</a>, <a class="el" href="classshark_1_1_cross_entropy_method_1_1_linear_noise.html#a3ea315bb004fc14c6c23f909f4c49a1a">shark::CrossEntropyMethod::LinearNoise</a></li>
<li>noiseVariance()&#160;:&#160;<a class="el" href="classshark_1_1_regularization_network_trainer.html#a5bc0b145342c383e4b5825ba887256c7">shark::RegularizationNetworkTrainer&lt; InputType &gt;</a></li>
<li>NonMarkovPole()&#160;:&#160;<a class="el" href="classshark_1_1benchmarks_1_1_non_markov_pole.html#a83d4df6fff72ddb0395e762474f69942">shark::benchmarks::NonMarkovPole</a></li>
<li>NormalDistributedPoints()&#160;:&#160;<a class="el" href="classshark_1_1_normal_distributed_points.html#a2a807f0aa71ef029adbb4b453bdadc8a">shark::NormalDistributedPoints</a></li>
<li>NormalizeComponentsUnitInterval()&#160;:&#160;<a class="el" href="classshark_1_1_normalize_components_unit_interval.html#a2a490ea87e8c5a48c1510bd5138c4c08">shark::NormalizeComponentsUnitInterval&lt; DataType &gt;</a></li>
<li>NormalizeComponentsUnitVariance()&#160;:&#160;<a class="el" href="classshark_1_1_normalize_components_unit_variance.html#afd2cc5b2c455036b0a846b70c4ea60c2">shark::NormalizeComponentsUnitVariance&lt; DataType &gt;</a></li>
<li>NormalizeComponentsWhitening()&#160;:&#160;<a class="el" href="classshark_1_1_normalize_components_whitening.html#aa274d58e81942ea0ca426aa789d61174">shark::NormalizeComponentsWhitening</a></li>
<li>NormalizeComponentsZCA()&#160;:&#160;<a class="el" href="classshark_1_1_normalize_components_z_c_a.html#abcbe347455c97ee3e0df09f4cc03f11f">shark::NormalizeComponentsZCA</a></li>
<li>NormalizedKernel()&#160;:&#160;<a class="el" href="classshark_1_1_normalized_kernel.html#ab967fe200113b33b7491e087bf3553dc">shark::NormalizedKernel&lt; InputType &gt;</a></li>
<li>NormalizeKernelUnitVariance()&#160;:&#160;<a class="el" href="classshark_1_1_normalize_kernel_unit_variance.html#a5ce875eca19e67dc9f94143f552b8080">shark::NormalizeKernelUnitVariance&lt; InputType &gt;</a></li>
<li>normalizeLabels()&#160;:&#160;<a class="el" href="classshark_1_1_label_order.html#ab1dc3f2600d83fd8a1837cc4acf0ca4d">shark::LabelOrder</a></li>
<li>Normalizer()&#160;:&#160;<a class="el" href="classshark_1_1_normalizer.html#a199e3aed7be4f495a34da0483072ca6b">shark::Normalizer&lt; VectorType &gt;</a></li>
<li>noSuccessfulOffspring()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a_individual.html#a6275fa23d80bf170e86eaa6919db0715">shark::CMAIndividual&lt; FitnessType &gt;</a></li>
<li>notionOfSuccess()&#160;:&#160;<a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#af9ee587af00f11bff5945bd863fe8734">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a8267fd3ec2932ce91f581e8a33fe9c5f">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a></li>
<li>noVars()&#160;:&#160;<a class="el" href="classshark_1_1_double_pole.html#a623d1c62e55c3df3a1c7219cefac3940">shark::DoublePole</a>, <a class="el" href="classshark_1_1_single_pole.html#a5dddaf6857e49b1b9fb0f627d3a6ea2e">shark::SinglePole</a></li>
<li>now()&#160;:&#160;<a class="el" href="classshark_1_1_timer.html#a4a3f88c6b69f2ed99176ee4c28057c6b">shark::Timer</a></li>
<li>nu()&#160;:&#160;<a class="el" href="classshark_1_1_one_class_svm_trainer.html#a0e08094473a5280df27a825ee9b72962">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>numBatches()&#160;:&#160;<a class="el" href="classshark_1_1_contrastive_divergence.html#ab29e7de311d214da805621aa15e980c7">shark::ContrastiveDivergence&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_multi_chain_approximator.html#a6b774fffc883d7851dd106e4997d2127">shark::MultiChainApproximator&lt; MarkovChainType &gt;</a>, <a class="el" href="classshark_1_1_single_chain_approximator.html#af7f41180f8480a2da3cc1dd5879fba80">shark::SingleChainApproximator&lt; MarkovChainType &gt;</a></li>
<li>numberOfBatches()&#160;:&#160;<a class="el" href="group__shark__globals.html#gabd82edf467b9b82f4b0a1e70fd695311">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#gaca4b1e6083184385dba76a21b4c1d42b">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>numberOfClasses()&#160;:&#160;<a class="el" href="classshark_1_1_one_versus_one_classifier.html#a3326ce74f8401f42dc8031dec9bbdc56">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a></li>
<li>numberOfClusters()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_clustering.html#a2c913637b84340135b606912228f5851">shark::AbstractClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_centroids.html#a3a1d11a1cee40cfb080b56ba037920b9">shark::Centroids</a>, <a class="el" href="classshark_1_1_hierarchical_clustering.html#a39b55be35d11299ad57826de89551e4c">shark::HierarchicalClustering&lt; InputT &gt;</a></li>
<li>numberOfElements()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga814e8b0028cc90dd2af69805e8f8a04d">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga5333445992cd6b14392cd80a1ab5403c">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>numberOfEvaluations()&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#a217a3a2c532ba6f3adfe58bb13b8de44">shark::CMA</a></li>
<li>numberOfHN()&#160;:&#160;<a class="el" href="classshark_1_1_r_b_m.html#aff68280f2b354df64b4ac311bcd0a240">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a></li>
<li>numberOfModels()&#160;:&#160;<a class="el" href="classshark_1_1_ensemble.html#a1e09f390e1605b270f0ec17b7845e472">shark::Ensemble&lt; ModelType, OutputType &gt;</a></li>
<li>numberOfNodes()&#160;:&#160;<a class="el" href="classshark_1_1_c_a_r_tree.html#aa12bccd442cf16fb99410fc161ac1c52">shark::CARTree&lt; LabelType &gt;</a></li>
<li>numberOfObjectives()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#aa69ec2b8a4e968f30d7ac135af074012">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b1.html#a60da03bfbedfa03a09b14c1c8457c2b4">shark::benchmarks::CIGTAB1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b2.html#a14d6a3c077f2d0b960a35d411e2b0686">shark::benchmarks::CIGTAB2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z1.html#a1377fe88d42f98ac7b6f1609f9a8d759">shark::benchmarks::DTLZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z2.html#a6a7cbabf0eeabdb810607b8e041c4d1f">shark::benchmarks::DTLZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z3.html#a49d7e211caabe976836bf7cb66994ce6">shark::benchmarks::DTLZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z4.html#ad8a961a37f2f49b56e9167226da36317">shark::benchmarks::DTLZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z5.html#a484ae196080674aad21bd3fe10e54d52">shark::benchmarks::DTLZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z6.html#a9c734171ed4e38c7e2ea679509566bb1">shark::benchmarks::DTLZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z7.html#abfcec3e580aad60413215439deec52e3">shark::benchmarks::DTLZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i1.html#a82bc183478afe2f1584646809f12bc8b">shark::benchmarks::ELLI1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i2.html#a15881ea77d9e2b1a60cc0f1d48d7ce0d">shark::benchmarks::ELLI2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_fonseca.html#accfd785a0c688c0f4d63e87e36813ce1">shark::benchmarks::Fonseca</a>, <a class="el" href="structshark_1_1benchmarks_1_1_g_s_p.html#a7e81d542842dd12d29af80b2a14dce16">shark::benchmarks::GSP</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r1.html#a559427fdb914834a4174072b9bf11758">shark::benchmarks::IHR1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r2.html#a5706a7a9802cbf0452295e529fcc8594">shark::benchmarks::IHR2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r3.html#a78e39ecb7e0ce635aa82004792493256">shark::benchmarks::IHR3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r4.html#a9a5774107709b6037dd7c8782fdf62ce">shark::benchmarks::IHR4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r6.html#afd3cafc16b0c836e2ce5de6999cc2120">shark::benchmarks::IHR6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z1.html#aaa9dc0d48c474dcd1a90fc20f9976c9b">shark::benchmarks::LZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z2.html#a08364bec8d57389932e3dfa2448914f7">shark::benchmarks::LZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z3.html#a5cb2f0ebcc28e1009a28ff5c63e28c8b">shark::benchmarks::LZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z4.html#a865fd55d19c334375052555a68623c73">shark::benchmarks::LZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z5.html#a22902c230106a308647d4ea6c0fdd688">shark::benchmarks::LZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z6.html#a90925dd4b4b5175d8897a1368076a1fe">shark::benchmarks::LZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z7.html#a15c0daaebc035b791ea2e28bd485543c">shark::benchmarks::LZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z8.html#ae2b38c375a699e7089d15b2bbb0cb230">shark::benchmarks::LZ8</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z9.html#ae4bbc34b4c5ea110988e3920dc429fd4">shark::benchmarks::LZ9</a>, <a class="el" href="classshark_1_1benchmarks_1_1_multi_objective_benchmark.html#a6a4d8531d457d155aea8258cd2747e51">shark::benchmarks::MultiObjectiveBenchmark&lt; Objectives &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t1.html#a62f78e45c8e14c96e70576ca97c9d489">shark::benchmarks::ZDT1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t2.html#a54d10b6a40470783d222e1804360cf01">shark::benchmarks::ZDT2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t3.html#a007b88aa038ff074902cda780965c19f">shark::benchmarks::ZDT3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t4.html#a3a7e60afd4627cd506a6093a33ce38b1">shark::benchmarks::ZDT4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t6.html#a25852559e81877fd9f6ee60d83aa5b24">shark::benchmarks::ZDT6</a>, <a class="el" href="classshark_1_1_evaluation_archive.html#a41da21a960547158600fca2b91873bfa">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a></li>
<li>numberOfParameters()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_linear_svm_trainer.html#a5ed007917fc44b741ed25b472f3438dd">shark::AbstractLinearSvmTrainer&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_abstract_svm_trainer.html#ab4f0632a6c463dca0103a38a6305c38c">shark::AbstractSvmTrainer&lt; InputType, LabelType, Model, Trainer &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#a10715ae5fca084b6b4d6d105b32ff074">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_binary_layer.html#a9ce6b841dd9f127c5e52cc29c9c8c8a1">shark::BinaryLayer</a>, <a class="el" href="classshark_1_1_bipolar_layer.html#ac21d6a8be9846ba21d63aa3b6318e820">shark::BipolarLayer</a>, <a class="el" href="classshark_1_1_c_a_r_tree.html#a7cf42c13416bca1cbb8b1a1d259f5dc4">shark::CARTree&lt; LabelType &gt;</a>, <a class="el" href="classshark_1_1_centroids.html#a3b61acaed4a72c56a3c3e22918e0b1ae">shark::Centroids</a>, <a class="el" href="classshark_1_1_classifier.html#a6a538027c562c81ca3520173fd0f2802">shark::Classifier&lt; 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InputType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#a9d09922eb837683653e3d8db6bffd797">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_hierarchical_clustering.html#a80de7a7c1da8c2bb47a563f27c1bdb58">shark::HierarchicalClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20">shark::IParameterizable&lt; VectorType &gt;</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a66b3bfe5605e929520855fe6d5b95584">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_expansion.html#acef45b855141ee8cae89b468c72bcb85">shark::KernelExpansion&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a9acfcaf7fee65d405706e35c16d43bb0">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_lasso_regression.html#a5ed477193272500aedbb7f1191fb8e29">shark::LassoRegression&lt; 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<li>numberOfStates()&#160;:&#160;<a class="el" href="structshark_1_1_two_state_space.html#ad19d005ed40ab4cfb59255d386965296">shark::TwoStateSpace&lt; State1, State2 &gt;</a></li>
<li>numberOfTasks()&#160;:&#160;<a class="el" href="classshark_1_1_gaussian_task_kernel.html#acd73ed4a70e91cc3d8f85c70fac37247">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a></li>
<li>numberOfTemperatures()&#160;:&#160;<a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a11d7ba7c75b98dd5809001fa8bf1ef2c">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_tempered_markov_chain.html#aecd5dbebaff6502d13430266dda8cec6">shark::TemperedMarkovChain&lt; Operator &gt;</a></li>
<li>numberOfVariables()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_objective_function.html#a256f6b128af038dfaf9cef1bcd45a426">shark::AbstractObjectiveFunction&lt; PointType, ResultT &gt;</a>, <a class="el" href="structshark_1_1benchmarks_1_1_ackley.html#a6c3895427eac0acb7b79ccc9f177c3ae">shark::benchmarks::Ackley</a>, <a class="el" href="structshark_1_1benchmarks_1_1_cigar.html#ad32baeea93164f338ac3030b4f0c7efc">shark::benchmarks::Cigar</a>, <a class="el" href="classshark_1_1benchmarks_1_1_cigar_discus.html#ade71ac99b993020d10de6a1f87e17a21">shark::benchmarks::CigarDiscus</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b1.html#ab46ac9805667ec95ad33da289c65b291">shark::benchmarks::CIGTAB1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_c_i_g_t_a_b2.html#a9bd1901f145feb709256bc5da78b2fac">shark::benchmarks::CIGTAB2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_constrained_sphere.html#a4830b3abcf15959f0f449a8ee85bd82d">shark::benchmarks::ConstrainedSphere</a>, <a class="el" href="structshark_1_1benchmarks_1_1_diff_powers.html#a50fc66d2dba422c62486bd109b38ee13">shark::benchmarks::DiffPowers</a>, <a class="el" href="structshark_1_1benchmarks_1_1_discus.html#a8bd7a64d12a573e72d154c33386b09d1">shark::benchmarks::Discus</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z1.html#a5ac72fec315b230134c4e93b43c1660b">shark::benchmarks::DTLZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z2.html#a0a7350eb1f44ebccb87066dd4570aec4">shark::benchmarks::DTLZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z3.html#adeb7a516bbe371d44132a04093190cca">shark::benchmarks::DTLZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z4.html#a882ed27af77335bcd94c2fb4b53eaca5">shark::benchmarks::DTLZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z5.html#a3818729cb70ef38dd1b116466209d22f">shark::benchmarks::DTLZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z6.html#a00549558010e2f07325b203bffcf50f3">shark::benchmarks::DTLZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_d_t_l_z7.html#a1d7c37461d6793978f0859162f27ec65">shark::benchmarks::DTLZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i1.html#a57846bef65024e7ee2b7c6971581fa96">shark::benchmarks::ELLI1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_e_l_l_i2.html#a9fab63d5c81cc2fa16b9da7aa7d16875">shark::benchmarks::ELLI2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_ellipsoid.html#a359164f92ba3d0f3670f0f8d0d3652d3">shark::benchmarks::Ellipsoid</a>, <a class="el" href="structshark_1_1benchmarks_1_1_fonseca.html#a3772896c7492c488c6e0994ebaf4c641">shark::benchmarks::Fonseca</a>, <a class="el" href="structshark_1_1benchmarks_1_1_g_s_p.html#a3a83eb2f4060f3b1a2a492581d81014f">shark::benchmarks::GSP</a>, <a class="el" href="structshark_1_1benchmarks_1_1_himmelblau.html#a8a19c463127bbf938a4f4d0ae6c517d8">shark::benchmarks::Himmelblau</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r1.html#ad2b921ea908c26b1fa16f8e68076b9d3">shark::benchmarks::IHR1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r2.html#a9d097fde181ff5ca770c0df9165ea418">shark::benchmarks::IHR2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r3.html#ae3344394dbc85b0d1bdb454f4fa98b81">shark::benchmarks::IHR3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r4.html#a00aea1c3de32b95777f13f60feeb798e">shark::benchmarks::IHR4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_i_h_r6.html#a5c23b0a18a528488a158fc266836377f">shark::benchmarks::IHR6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z1.html#a5ed5a457e1f2f871d315371069a3f3f3">shark::benchmarks::LZ1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z2.html#a222d532b85ecee40106cad7a767755f2">shark::benchmarks::LZ2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z3.html#a78a230402c7097c158c4ad889cd889bb">shark::benchmarks::LZ3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z4.html#ad7e6b46715c5a4cab687366826da2f96">shark::benchmarks::LZ4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z5.html#ad6061e51dc3c07513998776d486f8086">shark::benchmarks::LZ5</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z6.html#ad40e5e80996160d7e0cb77bf5619c1f3">shark::benchmarks::LZ6</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z7.html#ae41ce997faa816686d24661ea11c917a">shark::benchmarks::LZ7</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z8.html#a1395243b498e4ebe3e6d4eee2151303f">shark::benchmarks::LZ8</a>, <a class="el" href="structshark_1_1benchmarks_1_1_l_z9.html#a2ac38a74fde39ec0642e1c71feee4312">shark::benchmarks::LZ9</a>, <a class="el" href="classshark_1_1benchmarks_1_1_markov_pole.html#a4928d796a9ebd02f9a2e8485b43bea2a">shark::benchmarks::MarkovPole&lt; HiddenNeuron, OutputNeuron &gt;</a>, <a class="el" href="classshark_1_1benchmarks_1_1_multi_objective_benchmark.html#a4ac98eb92c0a0697790806a9c5acc359">shark::benchmarks::MultiObjectiveBenchmark&lt; Objectives &gt;</a>, <a class="el" href="classshark_1_1benchmarks_1_1_non_markov_pole.html#a56b23bc7588d0354b73b394188e9a872">shark::benchmarks::NonMarkovPole</a>, <a class="el" href="structshark_1_1benchmarks_1_1_rosenbrock.html#a012d39517313e0ab2e0d4606b49f82bd">shark::benchmarks::Rosenbrock</a>, <a class="el" href="structshark_1_1benchmarks_1_1_rotated_objective_function.html#abfb75d1b0459522b55453876f67de08b">shark::benchmarks::RotatedObjectiveFunction</a>, <a class="el" href="structshark_1_1benchmarks_1_1_schwefel.html#a0dc42548c3f2dea70acbeb31dc4faab9">shark::benchmarks::Schwefel</a>, <a class="el" href="structshark_1_1benchmarks_1_1_sphere.html#aec0e9aa514e01b0c505ab7a0c336ef40">shark::benchmarks::Sphere</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t1.html#ac18d91f6077da5317987295c6adcf904">shark::benchmarks::ZDT1</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t2.html#a4dd19370a57dd5d5d982c911a33c4d3a">shark::benchmarks::ZDT2</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t3.html#abd21ed221bfb56dbb533fde235428496">shark::benchmarks::ZDT3</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t4.html#a7b703e1f564caf681facbb3935cb0752">shark::benchmarks::ZDT4</a>, <a class="el" href="structshark_1_1benchmarks_1_1_z_d_t6.html#aa6482a31d5c7c9dfce3f3a3939c448ff">shark::benchmarks::ZDT6</a>, <a class="el" href="classshark_1_1_combined_objective_function.html#a59adda766aa7c47c1cc2a106bdc4287d">shark::CombinedObjectiveFunction&lt; 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ModelTypeT, LabelType &gt;</a>, <a class="el" href="classshark_1_1_loo_error_c_svm.html#a8b79c806757d7d220d3f5c22c473a767">shark::LooErrorCSvm&lt; InputType, CacheType &gt;</a>, <a class="el" href="structshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4_1_1_merging_problem_function.html#a5643027ade6dc7961b582b3545fa8338">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::MergingProblemFunction</a>, <a class="el" href="classshark_1_1_multi_chain_approximator.html#a993446d642fcad8eb01773477820547a">shark::MultiChainApproximator&lt; MarkovChainType &gt;</a>, <a class="el" href="classshark_1_1_negative_gaussian_process_evidence.html#a1ae734c2f62e91619ac17a437b6fd224">shark::NegativeGaussianProcessEvidence&lt; InputType, OutputType, LabelType &gt;</a>, <a class="el" href="classshark_1_1_negative_log_likelihood.html#a8edad3e44666ff1d9e696bad6cccb985">shark::NegativeLogLikelihood</a>, <a class="el" href="classshark_1_1_one_norm_regularizer.html#a5879a021a3941223eb98e9ebc26fbe3e">shark::OneNormRegularizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#a2ad114b67e0b9d29179bb67a52da3760">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_single_chain_approximator.html#a42c7938b0bb7fd94dcf5d440b81ae1c1">shark::SingleChainApproximator&lt; MarkovChainType &gt;</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#ae710c2360a5059c8f872757bdcb4c631">shark::SvmLogisticInterpretation&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_two_norm_regularizer.html#ac21be0270a24b01540c445dd4b7dab19">shark::TwoNormRegularizer&lt; SearchPointType &gt;</a>, <a class="el" href="classshark_1_1_variational_autoencoder_error.html#a2ab70e47d4d58df274f7092aac9aff67">shark::VariationalAutoencoderError&lt; SearchPointType &gt;</a></li>
<li>numberOfVN()&#160;:&#160;<a class="el" href="classshark_1_1_r_b_m.html#aa2832c9073247890ae6f17285cc5056c">shark::RBM&lt; VisibleLayerT, HiddenLayerT, randomT &gt;</a></li>
<li>numDimensions()&#160;:&#160;<a class="el" href="classshark_1_1statistics_1_1_result_table.html#ae18bb53680392f0a01529605a7a06e1a">shark::statistics::ResultTable&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1statistics_1_1_statistics.html#a1e09f59ff6a8506ad715db1e3a97c562">shark::statistics::Statistics&lt; Parameter &gt;</a></li>
<li>numElements()&#160;:&#160;<a class="el" href="classshark_1_1_shape.html#ad36fc62c674b01150cc5addab9dcc38d">shark::Shape</a></li>
<li>numInitPoints()&#160;:&#160;<a class="el" href="classshark_1_1_abstract_optimizer.html#a977f8494a25041605b5a2d7d7d120a71">shark::AbstractOptimizer&lt; PointType, ResultT, SolutionTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_single_objective_optimizer.html#a1bd54036e3524dc2ddf02afeadc0939f">shark::AbstractSingleObjectiveOptimizer&lt; PointType &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#adc103eae80a1d75fa128c6912cc0061c">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#a7442d1a0b976d59849869677bec8dcf0">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#ac714fa3ec030a0af97b738e80cfdbc85">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#a00bf3f40f13536690b0e17fe582bf55b">shark::MOEAD</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#aa89e84602ca691bf124a6fcaaf9869f4">shark::RVEA</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#a5c170f3b1acd7ade3f2ab73b2e5928e6">shark::SMSEMOA</a></li>
<li>numParams()&#160;:&#160;<a class="el" href="classshark_1_1statistics_1_1_result_table.html#ab0508e88d83415f0bb8d64f2b9a21dac">shark::statistics::ResultTable&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1statistics_1_1_statistics.html#a3f73b88b6b7891e986dc3f48b233833b">shark::statistics::Statistics&lt; Parameter &gt;</a></li>
<li>numStatistics()&#160;:&#160;<a class="el" href="structshark_1_1statistics_1_1_statistics.html#a7625604459272f7feceb7711c18632d2">shark::statistics::Statistics&lt; Parameter &gt;</a></li>
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